An investigation of bankruptcy prediction in imbalanced datasets.
David VeganzonesEric SéverinPublished in: Decis. Support Syst. (2018)
Keyphrases
- bankruptcy prediction
- imbalanced datasets
- cost sensitive learning
- learning vector quantization
- class distribution
- decision trees
- financial data
- class imbalance
- sampling methods
- ensemble methods
- imbalanced data
- training dataset
- feature selection algorithms
- credit card
- literature review
- neural network
- fraud detection
- active learning
- feature selection
- minority class
- cost sensitive
- missing values
- prediction accuracy